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Ai Companies In Jobs in Minnesota (NOW HIRING)

Thomson Reuters

AI Solutions Architect

Eagan, MN · On-site +1

About the Role In this role as a Senior AI Solutions Architect , you will: * Work hands-on with ... We are one of the few companies globally that helps its customers pursue justice, truth, and ...

Granicus

AI Solutions Advisor

Saint Paul, MN · On-site

... companies to work on BuiltIn. Over the last 25 years, we have served 5,500 federal, state, and ... What Your Impact Will Look Like Generate demand through targeted outreach initiatives in ...

VAST Data

Senior Systems Engineer - MN

Minneapolis, MN · On-site

$109K - $149K/yr

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in ... Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ...

VAST Data

Senior Systems Engineer - MN

Minneapolis, MN · On-site

$109K - $149K/yr

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in ... Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and ...

Ovative group

AI Engineer

Minneapolis, MN · On-site

Most companies are still figuring out what it means to be AI-native.Ovativeis building it. We have ... The things you ship will be in active use across the organization - by real people doing real work.

3M Company

Architect - Agentic AI

Maplewood, MN · On-site

$188K - $230K/yr

Architect - Agentic AI Collaborate with Innovative 3Mers Around the World Choosing where to start ... companies that are comparable in size and scope. Chat with Max For assistance with searching ...

3M

Architect - Agentic AI

Maplewood, MN

$188K - $230K/yr

Architect - Agentic AI Collaborate with Innovative 3Mers Around the World Choosing where to start ... companies that are comparable in size and scope. Chat with Max For assistance with searching ...

3M

Architect - Agentic AI

Maplewood, MN · On-site

$188K - $230K/yr

Architect - Agentic AI Collaborate with Innovative 3Mers Around the World Choosing where to start ... companies that are comparable in size and scope. Chat with Max For assistance with searching ...

Ovative group

Lead AI Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

Most companies are still figuring out what it means to be AI-native.Ovativeis building it. We have ... The primary measure of success in this role is not architectural elegance - it is whether the ...

Thomson Reuters U.S. Inc.

Senior Legal AI Engineer

Eagan, MN · On-site

$124K - $164K/yr

In this role, you will work at the intersection of engineering, law, and client impact - partnering ... We are one of the few companies globally that helps its customers pursue justice, truth, and ...

Thomson Reuters

Senior Legal AI Engineer

Eagan, MN · On-site +1

$124K - $164K/yr

In this role, you will work at the intersection of engineering, law, and client impact - partnering ... We are one of the few companies globally that helps its customers pursue justice, truth, and ...

Abbott

OpEx Data Analyst I

Plymouth, MN

A company that is recognized as one of the best big companies to work for as well as the best place ... Industry 4.0/AI/Automation Use Case Identification * Assist senior team members in evaluating where ...

Abbott

OpEx Data Analyst I

Plymouth, MN · On-site

A company that is recognized as one of the best big companies to work for as well as the best place ... Industry 4.0/AI/Automation Use Case Identification * Assist senior team members in evaluating where ...

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What are AI companies?

AI companies are businesses that develop, implement, or utilize artificial intelligence technologies to solve problems, automate processes, or provide innovative products and services. These companies work across various sectors, including healthcare, finance, transportation, and more, leveraging machine learning, natural language processing, computer vision, and other AI techniques. Some well-known AI companies include OpenAI, Google DeepMind, IBM Watson, and Microsoft AI. They play a significant role in advancing the field of artificial intelligence and shaping the future of technology.

What are the key skills and qualifications needed to thrive as an AI engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming (particularly Python), often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data analysis tools, and sometimes cloud platforms or certifications is typically required. Critical thinking, problem-solving, and strong communication skills set outstanding AI Engineers apart. These skills are crucial for designing, implementing, and collaborating on innovative AI solutions that drive business value.

What are some challenges professionals may face when working at AI companies in India, and how can they overcome them?

Professionals in AI companies in India often encounter challenges such as rapidly evolving technology, the need for continuous upskilling, and working in cross-functional teams with diverse backgrounds. Additionally, balancing research-oriented tasks with real-world implementation can be demanding. To succeed, candidates should embrace lifelong learning, actively participate in team discussions, and seek mentorship from experienced colleagues to stay updated and effective in their roles.

What is the difference between Ai Companies In vs Data Scientists?

AspectAi Companies InData Scientists
Required CredentialsTypically degrees in computer science, AI, or related fields; experience with machine learning frameworksDegrees in statistics, computer science, or related fields; proficiency in programming and data analysis
Work EnvironmentTech companies, startups, research labs focusing on AI developmentVarious industries including tech, finance, healthcare; analyzing data to inform decisions
Employer & Industry UsagePrimarily in AI-focused companies developing intelligent systemsAcross multiple sectors applying data analysis and modeling

Ai Companies In and Data Scientists often share similar educational backgrounds and work environments. However, Ai Companies In focus on developing AI products and solutions, while Data Scientists analyze data to support business decisions. Both roles are vital in tech-driven industries but serve different functions within the AI ecosystem.

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Infographic showing various Ai Companies In job openings in Minnesota as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Vice President, AI Product & Deployment

Granicus

Saint Paul, MN • On-site

Other

Re-posted 15 days ago

Job description

Vice President, AI Product & Deployment
Location US-Remote
ID 2026-10257
Category Product Position Type Full-Time Employee Type Regular Location Type Remote
The Company

Serving the People Who Serve the People

Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn.

Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve-driving meaningful change for communities around the globe.


Want to know more? See more of what we do here.

Job Summary

The VP, AI Product & Deployment is responsible for building and operating the system that turns AI capabilities into repeatable, scalable, revenue-generating products across the Government Experience platform.

This role unifies product strategy, real-world deployment, and commercialization into a single operating model-ensuring that Granicus AI initiatives are grounded in customer reality and deliver measurable outcomes. Unlike traditional product leadership roles, this position is accountable for what gets built, what works in the field, and what successfully scales across the customer base.

Ownership spans the full lifecycle of AI products across the Government Experience Agent (GXA), Government Experience Insights (GXI), and Government Experience Cloud (GXC), operating at the intersection of Product, Engineering, Go-To-Market, and Customer Experience.

Why This Role Matters
Granicus operates at a scale few companies can match serving thousands of government organizations and hundreds of millions of constituents across the US, UK, Australia, and beyond.
This role defines how AI transforms the platform from a collection of applications into a true operating system for government experience where data, workflows, and agents work together to deliver measurable outcomes for the public.

This is a high-visibility, high-impact role at a pivotal moment in the company's trajectory.

What Your Impact Will Look Like

AI Product & Platform Leadership

    Define and operate a unified AI product system across GXA, GXI, and GXC

  • Translate customer needs, deployment learnings, and market signals into clear product priorities

  • Drive a multi-year roadmap grounded in real-world usage and adoption

  • Build business cases for investment to meet market narrative and promises to customers

  • Partner with Engineering and Data Science to deliver scalable, production-ready AI capabilities

  • Serve as the primary AI product voice to executive leadership, the board, PE sponsors, and potential acquirers

Pricing, Packaging, and Commercial Strategy

  • Define pricing, packaging, and tiering models for GXA, GXI, and GXC

  • Lead the transition from traditional licensing to consumption- and outcomes-based pricing

  • Partner with Product Marketing on positioning, differentiation, and GTM narrative

  • Collaborate with Finance and Revenue leadership on ARR and margin modelling

  • Use deployment data to validate willingness-to-pay and outcome value across segments

Cross-Functional Leadership

  • Align Product, Engineering, Agent Factory, GTM, Sales Engineering, and Customer Experience

  • Act as the central integrator of AI strategy and execution across the company

  • Represent AI product and deployment strategy internally and externally

Feedback Loop, Adoption, and Revenue

  • Build a closed-loop system connecting build (Agent Factory) deploy (FDE) standardize (Product) scale (GTM)

  • Instrument deployment, usage, and outcome data to inform roadmap and pricing decisions

  • Own AI success metrics including adoption, time-to-value, utilization, ROI, and expansion ARR

  • Establish guardrails to prevent inappropriate discounting of AI capabilities

Productization & Scale

  • Serve as final authority on what becomes a product versus bespoke deployment

  • Convert successful deployments into supported, commercially packaged offerings

  • Prevent fragmentation by enforcing clear productization criteria

Forward Deployed Engineering

  • Help shape and scale a forwarddeployed engineering (FDE) function, informed by bestinclass industry models

  • Partner with teams to bring AI solutions into complex government environments, particularly within strategic accounts

  • Serve as a key input and validation partner for AI product decisions through applied, infield experience

  • Advise on and influence the allocation approach for when and how FDE resources are deployed

AI Deployment Operating Model

  • Define standards, playbooks, and reference architectures for AI deployment across agencies

  • Reduce time-to-value and increase repeatability across implementations

  • Create reusable deployment patterns across priority domains, including:

    • Web CMS and Service Requests

    • Communications and Engagement

    • Permitting, Licensing, and Compliance

    • Records Requests and Transparency

    • Agenda and Meeting Management

You Will Love This Job If You Have

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